Advances in Feature Selection for Data and Pattern Recognition
This book presents recent developments and research trends in the field of feature selection for data and pattern recognition, highlighting a number of latest advances. The field of feature selection is evolving constantly, providing numerous new algorithms, new solutions, and new applications. Some...
Other Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
Cham
Springer International Publishing
2018, 2018
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Edition: | 1st ed. 2018 |
Series: | Intelligent Systems Reference Library
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- An Introduction
- Attribute Selection Based on Reduction of Numerical Attribute During Discretization
- Improving Bagging Ensembles for Class Imbalanced Data by Active Learning
- Optimization of Decision Rules Relative to Length Based on Modified Dynamic Programming Approach
- Ranking-Based Rule Classifier Optimisation
- Attribute Selection in a Dispersed Decision-Making System
- Feature Selection Approach for Rule-based Knowledge Bases
- Feature Selection with a Genetic Algorithm for Classification of Brain Imaging Data